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For more information, please see full course syllabus of AP Statistics
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Lecture Comments (2)

1 answer

Last reply by: Sandahl Nelson
Mon Apr 4, 2016 3:20 PM

Post by Bhavya Vaghasia on March 28, 2016

Where did you get 30 and 4.3 for the first log example?

Regression, Part II

Lecture Slides are screen-captured images of important points in the lecture. Students can download and print out these lecture slide images to do practice problems as well as take notes while watching the lecture.

  • Intro 0:00
  • Objectives 0:10
  • Outliers and Influential Points 0:20
    • An OUTLIER
    • Influential Observations
  • Transformations to Achieve Linearity 2:39
    • Transformations to Achieve Linearity: When We Need It
    • Transformations to Achieve Linearity: How We Use It
  • Example I: Expected Number of Sales 7:11
  • Confounding 11:13
    • Confounding
  • Correlation Does NOT Prove Causation 11:55
    • Correlation Does NOT Prove Causation
  • Lurking Variables 13:06
    • Lurking Variables & Common Response
  • Confounding 14:25
    • Confounding
    • Example: Promotion to Increase Movie Sales
  • Example II: Causation, Confounding, or Common Response 16:26
  • Example III: Correlation 18:25
  • Example IV: Confounding & Common Response 19:50